The climate science community sources a suite of models to inform decision makers on future climate. Among the most widely used are GCMs (Global Climate Models or Earth System models) that capture the non-linear complexity of the Earth to represent changes across the climate system for key processes and contexts. The collection of models presented here represents the best-presently-available-data to outline likely future changes in the climatologies of temperature and precipitation across the globe. The collection analyzed here is a representative subset of the full CMIP5 distribution used by the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report.

The first chart above shows mean monthly temperature OR rainfall for Japan for the period 2060_2079. Projected changes are calculated from a 20 year historical control period covering the years 1986-2005.

The second chart represents the observed mean historical monthly temperature or rainfall for the selected location during the time period 1986-2005. The dataset was produced by the Climatic Research Unit (CRU) of University of East Anglia (UEA).

The climate science community sources a suite of models to inform decision makers on future climate. Among the most widely used are GCMs (Global Climate Models). GCMs comprise simplified but systematically rigorous interacting mathematical descriptions of important physical and chemical processes governing climate, including the role of the atmosphere, land, oceans, and biological processes.

The chart above shows mean monthly temperature OR rainfall for the Japan and 2020-2039.

Projected changes are calculated from a 40 year historical control period covering the years 1960-1999.